Qualifications/special skills

• Advanced university degree in data science, economics, statistics, public policy, development economics, applied mathematics, or a related field emphasising quantitative analysis, econometrics, causal inference and impact measurement.
  
• Minimum 7 years of progressively responsible experience in impact measurement, data analysis, monitoring and evaluation, or applied research in institutional settings is required.
  
• Experience in applying experimental or quasi-experimental methods, causal inference, counterfactual analysis, and cost-effectiveness assessment is required.
  
• Experience delivering training and staff capacity development on data and impact measurement is highly desirable. Experience with AI-enabled analytics, data science tools, and quantitative modeling is desirable.
  
• Experience developing indicators, dashboards and business intelligence systems is desirable. UN system experience is desirable.
  

Under the overall supervision of the SPU, PPD, the consultant will be engaged towards the following objectives:

• Design and implement advanced methodologies for impact measurement, including experimental and quasi-experimental approaches, causal inference, counterfactual analysis, and cost-effectiveness assessments.
  
• Review and enhance the quality of impact measurement system for sampled projects, providing guidance on improvements.
  
• Contribute to capacity building through setting up systems, and providing training and advisory support on data analysis, indicator development, impact measurement, and the use of analytical tools as necessary.
  
• Prepare high-quality analytical briefs, visualizations, dashboards, and presentations to inform senior decision-makers.